Feature Engineering Made Easy

Some data exploration

We have 1,288 rows by 1,850 columns. To do some brief exploratory analysis, we can plot one of the images by using this code:

# plot one of the faces
plt.imshow(X[0].reshape((h, w)), cmap=plt.cm.gray)
lfw_people.target_names[y[0]]

This will give us the following label:

'Hugo Chavez'

The image is as follows:

Now, let's plot the same image after applying a scaling module, as follows:

plt.imshow(StandardScaler().fit_transform(X)[0].reshape((h, w)), cmap=plt.cm.gray)
lfw_people.target_names[y[0]]

Which gives us this output:

'Hugo Chavez'

We get the following image for the preceding code:

Here, you can see that the image ...